This is the wiki page for the review of GWMAT: Gravitational Wave Microlensing Analysis Tools. GWMAT is a python package containing various useful tools for the study of microlensing (ML) of Gravitational Waves (GWs). There are 5 key elements to it which I list below:
This is the wiki page for the review of GWMAT: Gravitational Wave Microlensing Analysis Tools. GWMAT is a python package containing various useful tools for the study of microlensing (ML) of Gravitational Waves (GWs). There are 5 key elements to it which I list below:
1. A utils module named [py_lgw.py](https://git.ligo.org/anuj.mishra/GWMAT/-/blob/main/src/py_lgw.py) - Contains various classes which are used for various purposes by other elements of GWMAT. Some classes of this module heavily rely on _LAL_ and _PyCBC_. There are 7 classes as of now which I describe below:
1. A utils module named [py_lgw.py](https://git.ligo.org/anuj.mishra/GWMAT/-/blob/main/src/py_lgw.py) - Contains various classes which are used for various purposes by other elements of GWMAT. Some classes of this module heavily rely on _LAL_ and _PyCBC_. There are 7 classes as of now which I describe below:
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4. Amplification factor, F(f), computation for micro + macro cases in case of type-I (minima) images. The code can handle tens of thousands of microlenses.
4. Amplification factor, F(f), computation for micro + macro cases in case of type-I (minima) images. The code can handle tens of thousands of microlenses.
5. Same as above, but for the case of type-II (saddle-point) images.
5. Same as above, but for the case of type-II (saddle-point) images.
